In 10 months with 10 hours of lessons a week you’ll acquire skills of a true web-developer. Here are some of the projects that will be part of your portfolio:
Yandex is one of the largest IT companies in Europe. We build intelligent products and services powered by machine learning all over the world.
Full immersion in the world of IT involves constant exposure to industry technologies and using them to carry out hands-on projects while keeping in regular contact with your mentor. We've developed our own exclusive learning environment to help you do just that.
You'll start performing real-life tasks from day one. Information is given to you bit by bit, which you will apply immediately by writing your own code in our interactive platform.
The interactive platform is just one part of the overall learning process. You will acquire the essential skills while working on real-life projects using the same tools as professional developers.
A team of mentors and code-reviewers will give feedback on your projects, help you tackle all challenges, and share their professional methods and tricks. We also have Learning Support available 24/7 via chat.
They are experienced developers from Yandex and other prominent IT companies. Some of them made careers in IT after leaving their previous jobs. Just like you, they had to start from the ground up.
For 10 months of training
This course aims to expand your knowledge of HTML and CSS: flexbox, positioning elements, dealing with mediafiles, widgets, making and using animations, and building forms. Explore the world of BEM methodology, the most popular approach to organizing CSS.
Today, most websites require on their own virtual environments, which are usually built using the version control system Git. Plus, you’ll learn how to use the command line.
+ 1 project to your portfolio
+ 1 project for your portfolio
You’ll come to know the React library and its ecosystem. You’ll get things going by building websites composed of elements that may be reused on different pages. So the process of creating complex interfaces will become faster and a code will be more easy to maintain.
+ 1 project to your portfolio
This final project marks and proves what you’ve gained and learned during the course. During this project, you don’t have to submit any assignments and learn materials provided by our training platform. Now everything's like real life, where you have tasks, deadlines, acquired skills and a search engine.
Apart from your core curriculum, you can prepare yourself for getting a job offer. You’ll learn how to write a resume and a cover letter, compile your portfolio and ace your job interview. You’ll complete a real project for a real client. After that, you'll start all over again and go through the process of finding a job: you'll to a job opening, complete a test task, interview for your position and accept a job offer.
Quite challenging course for me (I was starting almost from scratch). Lots of information, lots of practice, additional practices for those eager to do more, Slack channels to communicate, you name it. Kudos to the Yandex team, and to the mentors community!
It was absolutely a great learning experience with Yandex. Many of doubt got cleared after watching these awesome videos.Lectures have in depth knowledge and understanding about Bigdata and Spark.Looking forward for the next course.
The content was a nice introductory course. The only thing that could be better is the grading system.
It is a great course having both mix of traditional ML and deep NLP approaches (the new might be better but we need to know the prevalent ways a decade ago!). Should keep the content updated with always developing field of NLP. Assignments are really useful to understand the subject and stays as a starter code for new projects you wanna start. I would like to convey my thanks to the instructors !!
Very good advanced course on NLP covering both statistical and deep learning modeling approaches. Very well cemented by programming assignments in python and real-world acht bot application using Telegram and Amazon Web Services free tier solution. Check the pre-requisites because this is an advanced course requiring some previous knowledge of NLP, linguistics, machine learning, deep learning and above all python programming and some AWS and Docker basic knowledge. Staff is very responsive and supportive on the forum. Finally, don't underestimate the time it takes to go through all videos, quizzes, and programming assignments -the guidance given is on the low end.
This is an advanced course. Creators assume you have significant amount of knowledge in the field, if not you have to do additional research. The course covers most up-to-date achievements in the field of NLP. It covers widely used techniques of improving NLP performance. You get a chance to see interesting point of view from some of the best people in NLP. Well prepared and thought through material. Teachers are enthusiastic about the filed, which helps learning. Definitely worth taking if you practice language analysis.
Overall great intro to NLP. Basic techniques like word embeddings and attention are explained quite well. However, some topics are not really easy to remember from this course, such as Topic modeling using LDA (which I understood much deeper during Bayesian Methods for Machine Learning course from the same specialization).
Thanks for a fantastic course! The lectures were amazing clear and well organized and covered exactly the topics most important to me in my current work. The homework assignments were designed perfectly to challenge and inspire.Great job!
A lot of information on a very high level but with reference to papers. Papers are a little bit dated for now, but this is due to rapid progress of NLP as a field of study. Assignments which need to be peer reviewed are painful, because you don't know when someone will check your work. This is due to not many learners simultaneously at class. In general, the course provides helpful advice when working with NLP and reveals some of the core approaches. Also, there is enough practice here, which is great.